Tourism demand modelling and forecasting : modern econometric approaches /

Saved in:
Bibliographic Details
Author / Creator:Song, Haiyan.
Edition:1st ed.
Imprint:Amsterdam ; New York : Pergamon, 2000.
Description:1 online resource (viii, 178 pages) : illustrations.
Language:English
Series:Advances in tourism research series
Advances in tourism research series.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11127237
Hidden Bibliographic Details
Varying Form of Title:Tourism demand modeling and forecasting
Other authors / contributors:Witt, Stephen F.
ISBN:0585474567
9780585474564
9780080436739
0080436730
1136353569
9781136353567
1282380737
9781282380738
9786612380730
661238073X
0080519415
9780080519418
Digital file characteristics:data file
Notes:Includes bibliographical references (pages 167-171) and indexes.
English.
Print version record.
Summary:"The aim of this book is to present the recent advances in econometric modelling methodology within the context of tourism demand analysis at a level that is accessible to non-specialists, and to illustrate these new developments with actual tourism applications." "The book begins with an introduction to the fundamentals of tourism demand analysis, before addressing the problems of traditional tourism demand modelling and forecasting, i.e. data mining and spurious regression due to common trends in the time series. Three chapters explore the general-to-specific approach to tourism demand modelling and forecasting, including the use of autoregressive distributed lag processes, cointegration analysis and error correction models. The time varying parameter model together with the use of the Kalman filter as an estimation method is a useful tool for examining the effects of regime shifts on tourism demand elasticities: this is explored next. The panel data approach is introduced as a way of overcoming the problem of estimation and forecasting biases caused by insufficient time series data. Finally, the book concludes by evaluating the empirical forecasting performance of the various models and putting forward some general conclusions."--Jacket.
Other form:Print version: Song, Haiyan. Tourism demand modelling and forecasting. 1st ed. Amsterdam ; New York : Pergamon, 2000 0080436730